A fraud score is a numerical rating assigned to a user, transaction, or session to indicate the likelihood of fraudulent activity. This score is calculated using algorithms that analyze various data points, such as IP address reputation, device fingerprinting, behavioral patterns, and historical data. Higher fraud scores suggest a greater risk of fraud, prompting further verification or blocking of the user. Fraud scores are widely used in cybersecurity, e-commerce, and financial services to prevent unauthorized access, reduce chargebacks, and protect users from scams. By automating risk assessment, organizations can efficiently identify and mitigate potential threats.